David Tellez
David Tellez
PhD student, Department of Pathology, Radboudumc
Verified email at radboudumc.nl - Homepage
Cited by
Cited by
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ...
Medical image analysis 54, 111-121, 2019
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
D Tellez, M Balkenhol, I Otte-Höller, R van de Loo, R Vogels, P Bult, ...
IEEE Transactions on Medical Imaging, 12, 2018
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
D Tellez, G Litjens, P Bandi, W Bulten, JM Bokhorst, F Ciompi, ...
Medical Image Analysis 58, 101544, 2019
H and E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection
D Tellez, M Balkenhol, N Karssemeijer, G Litjens, J van der Laak, ...
Medical Imaging 2018: Digital Pathology 10581, 105810Z, 2018
Neural image compression for gigapixel histopathology image analysis
D Tellez, G Litjens, J van der Laak, F Ciompi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer
MCA Balkenhol, P Bult, D Tellez, W Vreuls, PC Clahsen, F Ciompi, ...
Cellular Oncology 42 (4), 555-569, 2019
Predicting arousal with machine learning of EEG signals
T Nagy, D Tellez, Á Divák, E Lógó, M Köles, B Hámornik
2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), 137-140, 2014
Deep learning assisted mitotic counting for breast cancer
MCA Balkenhol, D Tellez, W Vreuls, PC Clahsen, H Pinckaers, F Ciompi, ...
Laboratory Investigation 99 (11), 1596-1606, 2019
Gigapixel Whole-Slide Image Classification Using Unsupervised Image Compression And Contrastive Training
D Tellez, J van der Laak, F Ciompi
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
D Tellez, D Hoppener, C Verhoef, D Grunhagen, P Nierop, M Drozdzal, ...
arXiv preprint arXiv:2004.07041, 2020
Virtual staining for mitosis detection in Breast Histopathology
C Mercan, G Mooij, D Tellez, J Lotz, N Weiss, M van Gerven, F Ciompi
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1770-1774, 2020
Deep learning enables fully automated mitotic density assessment in breast cancer histopathology
M Balkenhol, P Bult, D Tellez, W Vreuls, P Clahsen, F Ciompi, ...
VIRCHOWS ARCHIV 475, S58-S59, 2019
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